IEEE

Niching Genetic Programming to Learn Actions for Deep Reinforcement Learning in Dynamic Flexible Scheduling

Abstract: dynamic flexible job shop scheduling (DFJSS) is a critical combinatorial optimization problem known for its dynamic nature and flexibility of machines. Traditional scheduling methods face ...
IEEE

Adaptive Environment Generation for Continual Learning: Integrating Constraint Logic Programming With Deep Reinforcement Learning

Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...
theregister

Oracle unveils Project Detroit for faster Java interop with JavaScript and Python

JavaOne Oracle has shipped Java 26, a short-term release, and introduced Project Detroit, which promises faster interop between Java, JavaScript, and Python. Java 26 will be supported for just six ...
GitHub

The One Billion Row Challenge

This will take a few minutes. Attention: the generated file has a size of approx. 12 GB, so make sure to have enough diskspace. If you're running the challenge with a non-Java language, there's a ...